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Truck early warning information extraction and risk recognition method based on Beidou Internet of vehicles

A technology of early warning information and risk identification, applied in character and pattern recognition, road vehicle traffic control systems, instruments, etc., can solve problems such as lack of road traffic safety

Inactive Publication Date: 2019-12-06
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is still a lack of relevant technologies on how to extract and use these early warning information to improve road traffic safety.

Method used

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  • Truck early warning information extraction and risk recognition method based on Beidou Internet of vehicles
  • Truck early warning information extraction and risk recognition method based on Beidou Internet of vehicles
  • Truck early warning information extraction and risk recognition method based on Beidou Internet of vehicles

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Experimental program
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Embodiment Construction

[0064] The following is attached Figure 1-4 The present invention is described in further detail.

[0065] Step 1, data acquisition.

[0066] Obtain the vehicle ID, update upload time, vehicle safety warning status, and mileage records through the vehicle-connected vehicle terminal of the Beidou positioning system.

[0067] Step 2, data preprocessing

[0068] Step 2.1 Traverse all data files, delete travel records that do not meet the requirements, delete text files that lack attribute values, ensure the integrity of attributes, and delete records repeatedly uploaded by vehicle terminals;

[0069] Step 2.2 Traverse all data files, calculate the mileage of the vehicle on the day, the cumulative warning frequency of each warning position on the day, and the time difference between the start and end points of the day. According to the cumulative distribution map of the driving mileage of all vehicles, determine the excessive value and the small value point of the driving mile...

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Abstract

The invention relates to a truck early warning information extraction and risk recognition method based on Beidou Internet of vehicles. The method comprises the following steps: 1, acquiring originaldata relevant to vehicle early warning through an Internet of vehicles terminal provided with a Beidou positioning system; 2, preprocessing the original data; 3, extracting key variables of truck early warning information; 4, clustering vehicle safety risks; 5, performing discriminant analysis; and 6, performing risk recognition. Through adoption of the method, unit driving mileage early warning frequency and unit driving time early warning frequency can be given to a certain vehicle / driver, so that a judgement function of the discriminant analysis can be given based on history data of the Internet of vehicles, and the risk recognition or prediction is realized.

Description

technical field [0001] The invention belongs to the application field of traffic safety, is applied to the transportation industry, and specifically relates to a truck early warning information extraction and risk identification method based on Beidou Internet of Vehicles. Background technique [0002] On April 12, 2019, the Ministry of Transport announced the statistical bulletin on the development of the transportation industry in 2018. The data shows that in 2018, my country completed 39.569 billion tons of road freight, an increase of 7.3%. . In recent years, my country's road freight volume and cargo turnover are still gradually increasing, but the problem of road traffic safety has become increasingly prominent, and road traffic safety accidents are still a major hidden danger in the development of my country's transportation industry. According to statistics from the Traffic Management Bureau of the Ministry of Public Security, at the end of 2016, there were 194 milli...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/00G06K9/62
CPCG08G1/205G06F18/23G06F18/241
Inventor 杨小宝郑留洋高自友毕军闫学东
Owner BEIJING JIAOTONG UNIV